1216-P: Plasma Amino Acid Profile as a Predictive Biomarker for Visceral Adiposity in Japanese Americans
Background/Aim: Greater visceral fat area (VFA) is associated with multiple metabolic conditions. We sought to determine whether plasma amino acid concentrations (AA) predict VFA. Methods: In plasma samples from Japanese American participants in a study of diabetes risk factors, we used mass spectro...
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Veröffentlicht in: | Diabetes (New York, N.Y.) N.Y.), 2021-06, Vol.70 (Supplement_1) |
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creator | TRAN, ANH WANDER, PANDORA THOMAS, MELISSA K. KAHN, STEVEN E. FUJIMOTO, WILFRED Y. BOYKO, EDWARD J. |
description | Background/Aim: Greater visceral fat area (VFA) is associated with multiple metabolic conditions. We sought to determine whether plasma amino acid concentrations (AA) predict VFA. Methods: In plasma samples from Japanese American participants in a study of diabetes risk factors, we used mass spectrometry to measure fasting levels of 20 AA in 351 individuals who were free from diabetes (mean age 56 y, 51% male). We measured height, weight, waist circumference (WC), and VFA and subcutaneous fat area (SFA). Using AA that were significantly associated with VFA in univariate analyses, we fitted a multivariable linear regression model to create a VFA prediction index. We calculated area under receiver-operating characteristic curves (AUROC) for ability of AA to discriminate between low vs. high VFA dichotomized at median values (men - 99.3 cm2, women - 65.6 cm2) and compared our AA estimates to WC AUROC. Results: All AA significantly discriminated between high and low VFA as all AUROC significantly exceeded the null value of 0.5 (Table 1). However, WC AUROC was significantly greater than all AA. Our new AA-based VFA prediction index performed better at distinguishing between high and low VFA than a previously reported index (Yamakado M et al., Clin Obesity, 2012, AUROC 0.780 vs. 0.676, p-value |
doi_str_mv | 10.2337/db21-1216-P |
format | Article |
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We sought to determine whether plasma amino acid concentrations (AA) predict VFA. Methods: In plasma samples from Japanese American participants in a study of diabetes risk factors, we used mass spectrometry to measure fasting levels of 20 AA in 351 individuals who were free from diabetes (mean age 56 y, 51% male). We measured height, weight, waist circumference (WC), and VFA and subcutaneous fat area (SFA). Using AA that were significantly associated with VFA in univariate analyses, we fitted a multivariable linear regression model to create a VFA prediction index. We calculated area under receiver-operating characteristic curves (AUROC) for ability of AA to discriminate between low vs. high VFA dichotomized at median values (men - 99.3 cm2, women - 65.6 cm2) and compared our AA estimates to WC AUROC. Results: All AA significantly discriminated between high and low VFA as all AUROC significantly exceeded the null value of 0.5 (Table 1). However, WC AUROC was significantly greater than all AA. Our new AA-based VFA prediction index performed better at distinguishing between high and low VFA than a previously reported index (Yamakado M et al., Clin Obesity, 2012, AUROC 0.780 vs. 0.676, p-value <0.005).</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db21-1216-P</identifier><language>eng</language><publisher>New York: American Diabetes Association</publisher><subject>Adipose tissue ; Amino acids ; Diabetes ; Diabetes mellitus ; Mass spectroscopy ; Risk factors</subject><ispartof>Diabetes (New York, N.Y.), 2021-06, Vol.70 (Supplement_1)</ispartof><rights>Copyright American Diabetes Association Jun 1, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>TRAN, ANH</creatorcontrib><creatorcontrib>WANDER, PANDORA</creatorcontrib><creatorcontrib>THOMAS, MELISSA K.</creatorcontrib><creatorcontrib>KAHN, STEVEN E.</creatorcontrib><creatorcontrib>FUJIMOTO, WILFRED Y.</creatorcontrib><creatorcontrib>BOYKO, EDWARD J.</creatorcontrib><title>1216-P: Plasma Amino Acid Profile as a Predictive Biomarker for Visceral Adiposity in Japanese Americans</title><title>Diabetes (New York, N.Y.)</title><description>Background/Aim: Greater visceral fat area (VFA) is associated with multiple metabolic conditions. We sought to determine whether plasma amino acid concentrations (AA) predict VFA. Methods: In plasma samples from Japanese American participants in a study of diabetes risk factors, we used mass spectrometry to measure fasting levels of 20 AA in 351 individuals who were free from diabetes (mean age 56 y, 51% male). We measured height, weight, waist circumference (WC), and VFA and subcutaneous fat area (SFA). Using AA that were significantly associated with VFA in univariate analyses, we fitted a multivariable linear regression model to create a VFA prediction index. We calculated area under receiver-operating characteristic curves (AUROC) for ability of AA to discriminate between low vs. high VFA dichotomized at median values (men - 99.3 cm2, women - 65.6 cm2) and compared our AA estimates to WC AUROC. Results: All AA significantly discriminated between high and low VFA as all AUROC significantly exceeded the null value of 0.5 (Table 1). However, WC AUROC was significantly greater than all AA. Our new AA-based VFA prediction index performed better at distinguishing between high and low VFA than a previously reported index (Yamakado M et al., Clin Obesity, 2012, AUROC 0.780 vs. 0.676, p-value <0.005).</description><subject>Adipose tissue</subject><subject>Amino acids</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Mass spectroscopy</subject><subject>Risk factors</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNotkMtKxDAUhoMoOF5WvkDApVRzadLEXR28MmAXg7gLaXqCGTtNTWaEeXs7jJzFz4GP_3A-hK4ouWWcV3ddy2hBGZVFc4RmVHNdcFZ9HqMZIZQVtNLVKTrLeUUIkdPM0NeBvsdNb_Pa4nodhohrFzrcpOhDD9hmbKcFuuA24RfwQ4hrm74hYR8T_gjZQbI9rrswxhw2OxwG_GZHO0CGqQ9ScHbIF-jE2z7D5X-eo-XT43L-Uizen1_n9aJwshQFQNVSbVUnuNJeKu-1Ek4zWwrHiNJMtspVvCx9C6AIMPC87YSgTrcayoqfo-tD7ZjizxbyxqziNg3TRcOEZEwqqsVE3Rwol2LOCbwZU5ie2hlKzN6k2Zs0ezem4X_JX2Ur</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>TRAN, ANH</creator><creator>WANDER, PANDORA</creator><creator>THOMAS, MELISSA K.</creator><creator>KAHN, STEVEN E.</creator><creator>FUJIMOTO, WILFRED Y.</creator><creator>BOYKO, EDWARD J.</creator><general>American Diabetes Association</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20210601</creationdate><title>1216-P: Plasma Amino Acid Profile as a Predictive Biomarker for Visceral Adiposity in Japanese Americans</title><author>TRAN, ANH ; WANDER, PANDORA ; THOMAS, MELISSA K. ; KAHN, STEVEN E. ; FUJIMOTO, WILFRED Y. ; BOYKO, EDWARD J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c645-ee7b19a8d5389f68ff985c92a45c208926b8c7344fbee80e2ef3bd551c9b9e473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adipose tissue</topic><topic>Amino acids</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Mass spectroscopy</topic><topic>Risk factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>TRAN, ANH</creatorcontrib><creatorcontrib>WANDER, PANDORA</creatorcontrib><creatorcontrib>THOMAS, MELISSA K.</creatorcontrib><creatorcontrib>KAHN, STEVEN E.</creatorcontrib><creatorcontrib>FUJIMOTO, WILFRED Y.</creatorcontrib><creatorcontrib>BOYKO, EDWARD J.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>TRAN, ANH</au><au>WANDER, PANDORA</au><au>THOMAS, MELISSA K.</au><au>KAHN, STEVEN E.</au><au>FUJIMOTO, WILFRED Y.</au><au>BOYKO, EDWARD J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>1216-P: Plasma Amino Acid Profile as a Predictive Biomarker for Visceral Adiposity in Japanese Americans</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><date>2021-06-01</date><risdate>2021</risdate><volume>70</volume><issue>Supplement_1</issue><issn>0012-1797</issn><eissn>1939-327X</eissn><abstract>Background/Aim: Greater visceral fat area (VFA) is associated with multiple metabolic conditions. We sought to determine whether plasma amino acid concentrations (AA) predict VFA. Methods: In plasma samples from Japanese American participants in a study of diabetes risk factors, we used mass spectrometry to measure fasting levels of 20 AA in 351 individuals who were free from diabetes (mean age 56 y, 51% male). We measured height, weight, waist circumference (WC), and VFA and subcutaneous fat area (SFA). Using AA that were significantly associated with VFA in univariate analyses, we fitted a multivariable linear regression model to create a VFA prediction index. We calculated area under receiver-operating characteristic curves (AUROC) for ability of AA to discriminate between low vs. high VFA dichotomized at median values (men - 99.3 cm2, women - 65.6 cm2) and compared our AA estimates to WC AUROC. Results: All AA significantly discriminated between high and low VFA as all AUROC significantly exceeded the null value of 0.5 (Table 1). However, WC AUROC was significantly greater than all AA. Our new AA-based VFA prediction index performed better at distinguishing between high and low VFA than a previously reported index (Yamakado M et al., Clin Obesity, 2012, AUROC 0.780 vs. 0.676, p-value <0.005).</abstract><cop>New York</cop><pub>American Diabetes Association</pub><doi>10.2337/db21-1216-P</doi></addata></record> |
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Adipose tissue Amino acids Diabetes Diabetes mellitus Mass spectroscopy Risk factors |
title | 1216-P: Plasma Amino Acid Profile as a Predictive Biomarker for Visceral Adiposity in Japanese Americans |
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